A novel active contour model for image segmentation using local and global region-based information-Reference-Cited by-同舟云学术

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A novel active contour model for image segmentation using local and global region-based information

Published:2016-08-29 Issue:1-2 Volume:28 Page:75-89
ISSN:0932-8092
Container-title:Machine Vision and Applications
language:en
Short-container-title:Machine Vision and Applications

Author:

Zhang Ling,Peng Xinguang,Li Gang,Li Haifang

Funder

Study on Construction of EEG Functional Brain Network and Analysis of Abnormal Features in Depression fundered by National Natural Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

http://link.springer.com/content/pdf/10.1007/s00138-016-0805-3.pdf

Reference27 articles.

1. Qin, X., Tian, Y., Yan, P.: Feature competition and partial sparse shape modeling for cardiac image sequences segmentation. Neurocomputing 149, 904–913 (2015)

2. Qin, X., Lu, H., Tian, Y., Yan, P.: Partial sparse shape constrained sector-driven bladder wall segmentation. Mach. Vis. Appl. 26(5), 593–606 (2015)

3. Qin, X., Li, X., Liu, Y., Lu, H., Yan, P.: Adaptive shape prior constrained level sets for bladder MR image segmentation. IEEE J. Biomed. Health Inform. 18(5), 1707–1716 (2014)

4. Du, B., Zhang, L.: Target detection based on a dynamic subspace. Pattern Recognit. 47(1), 344–358 (2014)

5. Osher, S., Sethian, J.A.: Fronts propagating with curvature-dependent speed:algorithms based on Hamilton–Jacobi formulations. J. Comput. Phys. 79(1), 12–49 (1988)

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